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Tord Ekelof

Researcher at Uppsala University

Publications -  1330
Citations -  100194

Tord Ekelof is an academic researcher from Uppsala University. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 137, co-authored 1212 publications receiving 91105 citations. Previous affiliations of Tord Ekelof include University of Bergen & Azerbaijan National Academy of Sciences.

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Measurement of the Z/γ* boson transverse momentum distribution in pp collisions at √s = 7 TeV with the ATLAS detector

Georges Aad, +2914 more
TL;DR: In this paper, a measurement of the Z/gamma* boson transverse momentum spectrum using ATLAS proton-proton collision data at a centre-of-mass energy of root s = 7TeV at the LHC is described.
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Search for neutral heavy leptons produced in Z decays

P. Abreu, +587 more
TL;DR: Weak isosinglet neutral heavy leptons (m) have been searched for using data collected by the DELPHI detector corresponding to 3:3 106 hadronic Z0 decays at LEP1.
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Search for new high-mass phenomena in the dilepton final state using 36 fb−1 of proton-proton collision data at √s=13 TeV with the ATLAS detector

Morad Aaboud, +2947 more
TL;DR: In this article, a search for new resonant and non-resonant high-mass phenomena in dielectron and dimuon fi nal states was conducted using 36 : 1 fb(-1) of proton-proton collision data.
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Search for squarks and gluinos with the ATLAS detector in final states with jets and missing transverse momentum using √s = 8 TeV proton-proton collision data

Georges Aad, +2919 more
TL;DR: In this article, a search for squarks and gluinos in final states containing high-p T jets, missing transverse momentum and no electrons or muons is presented.
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Performance of pile-up mitigation techniques for jets in pp collisions at √s = 8 TeV using the ATLAS detector

Georges Aad, +2865 more
TL;DR: The methods employed in the ATLAS experiment to correct for the impact of pile-up on jet energy and jet shapes, and for the presence of spurious additional jets, are described, with a primary focus on the large 20.3 kg-1 data sample.